GIS Technical Lead
About the role
Role Overview
We are seeking an experienced Technical Lead to drive complex, data-intensive projects combining Data Engineering and Data Science within the utilities and energy domain. This role requires hands-on leadership across large-scale datasets (including GIS and time-series data), strong stakeholder engagement skills, and experience delivering integrated AI-driven solutions.
The successful candidate will act as a technical liaison across business stakeholders, product teams, and engineering teams, ensuring high-quality, scalable, and business-aligned data solutions.
Key Responsibilities
- Lead technical requirements gathering sessions with business stakeholders and subject matter experts to translate business needs into detailed technical specifications and data models.
- Lead the technical execution of projects involving both Data Science and Data Engineering teams to deliver integrated AI solutions.
- Oversee the end-to-end data lifecycle, including data contextualization, mapping, and ingestion of large-scale structural, GIS, and time-series (e.g., AMI) data into the product.
- Configure and customize demand forecasting and grid impact assessment modules using backend interfaces and front-end UI controls to align with client requirements.
- Design and implement rigorous validation frameworks to ensure the accuracy, reliability, and business value of platform outputs.
- Provide technical guidance, mentorship, and support to junior data scientists and engineers.
- Serve as a key technical liaison, communicating project status, risks, technical complexities, and outcomes to internal stakeholders and product teams.
Required Experience & Skills
- Proven experience leading technical projects with significant Data Engineering and Data Science components.
- Demonstrated experience mentoring and providing technical leadership to junior team members.
- Hands-on experience working with large, complex datasets including: Structural data (e.g., asset records)
- Geospatial (GIS) data
- Time-series data (e.g., smart meter readings)
Nice-to-Have Qualifications
- Domain experience in utilities, power systems, or the broader energy sector.
- Experience collaborating closely with product teams to implement and configure vendor platforms.
- Experience establishing data quality frameworks and governance processes.
- Experience acting as the technical point-of-contact for third-party software vendors.
This engagement is managed end-to-end by Querentia. Our recruiters give you honest feedback at every stage, prepare you for the interview, and support a smooth onboarding once you land the offer.